Qingsong Wen

time-series-transformers-review. A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

awesome-AI-for-time-series-papers. A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Awesome-TimeSeries-SpatioTemporal-LM-LLM. A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Awesome-SSL4TS. A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

awesome-AI-tutorials-surveys. A professional list of Tutorials and Surveys on DL, ML, DM, CV, NLP, Speech in top AI conferences and journals.

timeseries-tutorial-kdd-2022. KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective

Talks-Keynotes-slides. My invited Keynote/Talk at Conferences, Universities, Companies, etc.

ICML2022-FEDformer. Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

timeseries-tutorial-kdd-2024.

Time-LLM. [ICLR 2024] Official implementation of "Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

qingsongedu.github.io-timeseries-tutorial-kdd-2024.

AirFormer. PyTorch implementation of AirFormer, AAAI-23

qingsongedu.github.io. Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

NeurIPS2022-FiLM. source code for NeurIPS’22 paper "FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting"

KDD2022-Quatformer. Source code of KDD'22 paper: Learning to Rotate: Quaternion Transformer for Complicated Periodical Time Series Forecasting